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18 часов назад

Senior Staff Data Scientist (Consumer Experimentation)

Формат работы
remote (только Canada/United_states)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Senior Staff Data Scientist (Consumer Experimentation): Leading the development of advanced experimentation methodologies and causal inference frameworks to optimize user connection and content delivery. Focus on solving network effects, spillover, and interference in a complex social network environment.

Location: Remote (Ontario, Canada)

Company

hirify.global is a community-driven platform facilitating authentic conversations across 100,000+ active communities.

What you will do

  • Serve as the technical authority on experimentation methodology across the Consumer organization, setting standards for design and analysis.
  • Solve high-complexity problems including spillover, network effects, and two-sided experimentation.
  • Develop advanced causal inference methods for non-randomized settings, such as synthetic control and switchback experiments.
  • Build and scale self-serve experimentation tools and platforms to increase velocity across product and engineering teams.
  • Influence long-term product strategy by translating rigorous experimental results into actionable recommendations for leadership.
  • Mentor data scientists on causal reasoning, statistical rigor, and experimentation best practices.

Requirements

  • Ph.D. in Statistics, Econometrics, Computer Science, or related field, or M.S. with equivalent expertise.
  • 8+ years (for Ph.D.) or 12+ years (for M.S.) of industry experience in applied science or experimentation roles.
  • Deep expertise in causal inference, including network interference, spillovers, and cluster randomization.
  • Strong theoretical grounding in power analysis, variance reduction, and sequential testing.
  • Expert knowledge of SQL and proficiency in R and/or Python.
  • Must be based in Ontario, Canada.

Nice to have

  • Published research in network experimentation or marketplace causal inference.
  • Familiarity with Bayesian experimental methods, bandit algorithms, or adaptive designs.
  • Experience with user-generated content platforms and community-level dynamics.

Culture & Benefits

  • Comprehensive medical benefits and Health Care Spending Account.
  • Registered Retirement Savings Plan (RRSP) with matching contributions.
  • Flexible vacation and paid volunteer time off.
  • Generous paid parental leave and family planning support.
  • Mental health, coaching, and gender-affirming care benefits.

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